htestClust: Reweighted Marginal Hypothesis Tests for Clustered Data

A collection of reweighted marginal hypothesis tests for clustered data, based on reweighting methods of Williamson, J., Datta, S., and Satten, G. (2003) <doi:10.1111/1541-0420.00005>. The tests in this collection are clustered analogs to well-known hypothesis tests in the classical setting, and are appropriate for data with cluster- and/or group-size informativeness. The syntax and output of functions are modeled after common, recognizable functions native to R. Methods used in the package refer to Gregg, M., Datta, S., and Lorenz, D. (2020) <doi:10.1177/0962280220928572>, Nevalainen, J., Oja, H., and Datta, S. (2017) <doi:10.1002/sim.7288> Dutta, S. and Datta, S. (2015) <doi:10.1111/biom.12447>, Lorenz, D., Datta, S., and Harkema, S. (2011) <doi:10.1002/sim.4368>, Datta, S. and Satten, G. (2008) <doi:10.1111/j.1541-0420.2007.00923.x>, Datta, S. and Satten, G. (2005) <doi:10.1198/016214504000001583>.

Version: 0.2.2
Depends: R (≥ 3.5.0)
Imports: bootstrap, graphics, MASS, stats
Suggests: knitr, rmarkdown
Published: 2022-05-18
Author: Mary Gregg ORCID iD [aut, cre], Somnath Datta ORCID iD [aut], Doug Lorenz ORCID iD [aut]
Maintainer: Mary Gregg <megregg07 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: htestClust results

Documentation:

Reference manual: htestClust.pdf
Vignettes: *htestClust*: a package for marginal inference of clustered data under informative cluster size

Downloads:

Package source: htestClust_0.2.2.tar.gz
Windows binaries: r-devel: htestClust_0.2.2.zip, r-release: htestClust_0.2.2.zip, r-oldrel: htestClust_0.2.2.zip
macOS binaries: r-release (arm64): htestClust_0.2.2.tgz, r-oldrel (arm64): htestClust_0.2.2.tgz, r-release (x86_64): htestClust_0.2.2.tgz
Old sources: htestClust archive

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